PyOCR cannot detect clearly?

[wood_6636]

As you can see in the down below captures, the image cannot be nicely detected to the final result, could anyone tell me how to have a better recognition by using PyOCR ?

Image Source:


Final Detected image:

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def codeocr():     #My Code     img=cv2.imread('/Users/Woodylin/Desktop/Python Learnings/Bank_Fubon_Mort_Scrapping/img_source.png')     dst=cv2.fastNlMeansDenoisingColored(img,None,10,10,7,21)     ret,thresh=cv2.threshold(dst,127,255,cv2.THRESH_BINARY_INV)                   cv2.imwrite("/Users/Woodylin/Desktop/Python Learnings/Bank_Fubon_Mort_Scrapping/final.png",thresh)       from PIL import Image     import sys     import pyocr     import pyocr.builders       tools = pyocr.get_available_tools()     if len(tools) == 0:         print("No OCR tool found")         sys.exit(1)     tool = tools[0]       result = tool.image_to_string(         Image.open('/Users/Woodylin/Desktop/Python Learnings/Bank_Fubon_Mort_Scrapping/final.png'),         builder=pyocr.builders.TextBuilder()     )       return result